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Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves
To address this challenge, we present Serdab, a distributed orchestration framework for deploying deep neural network computation across multiple secure enclaves (e. g., Intel SGX).
Analysis of PCA Algorithms in Distributed Environments
In this report, we analyze different methods for computing an important machine learing algorithm, namely Principal Component Analysis (PCA), and we comment on its limitations in supporting large datasets.
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